Title: Isotropy-based steganalysis in multiple least significant bits
Abstract: In this paper, we extend Isotropy-based LSB steganalysis for detecting the existence of hidden message and estimating hidden message length when the embedding is performed using both of two distinct embedding paradigms in one or more than one LSB. The extended method is based on the analysis of image isotropy, which is usually affected by secret message embedding. The proposed method is general framework because it encompasses a more general case of LSB steganalysis, namely when the embedding is performed in more LSBs and using both embedding paradigms. Compared with our previous proposed weighted stego-image based method, the detection accuracy is high. Experimental results and theoretical verification show that this framework is an effective framework of LSB steganalysis.
Publication Year: 2008
Publication Date: 2008-02-14
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 2
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